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Exercises with R code and data sets
Exercises with R code and data sets
R code used for validation of models from small parts of GUSTO-I (practical Utrecht 2011, Gusto data)
Study overfitting and optimism (Chapter 5)
Study the relevance of linearity and interactions in prediction modeling (Chapter 6)
Estimate prognostic effects and validity in TBI with background document and data set (Chapter 19)
Develop a model with GUSTO-I data (see chapter22)
RCT Analyses With Covariate Adjustment, illustrated with GUSTO-I data
Implementation of the PATH Statement, illustrated with GUSTO-I data
Decision curve analysis for quantifying the additional benefit of a new marker by Emily Vertosick and Andrew Vickers,
also at https://www.decisioncurveanalysis.org/
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